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gpt-5_triton_f88811

GQA paged decode h32 kv4 d128 ps1 · num_pages = 1070 · batch_size = 16 · len_indptr = 17 · num_kv_indices = 1020 · bf16 · run 01a02032-5796…
●passedReported evidence

Not re-observed recently.

Primary measurement
73.8µsmean

Rank 1 in its comparison group · source-native comparison · observed 2026-03-28

124.44× reference

Identity
implementationgpt-5_triton_f88811
projectgpt-5-2025-08-07
revisionda915083d4c7c5e61aa3005e3d17ae488e0fc71c
workloadnum_pages = 1070 · batch_size = 16 · len_indptr = 17 · num_kv_indices = 1020 · bf16
comparison keysha256:ea7cb57d1313e135…
sourceFlashInfer-Bench
sha256:37fdcbc136a42835e77b214…

Correctness

comparatorflashinfer_bench_eval
max absolute error0.0009765625
max relative error0.011090029031038284
resultpassed

Workload

num_pages1070
batch_size16
len_indptr17
num_kv_indices1020
qbf16 [16, 32, 128]
k_cachebf16 [1070, 1, 4, 128]
v_cachebf16 [1070, 1, 4, 128]
kv_indptrint32 [17]
kv_indicesint32 [1020]
definition comparatorsol_execbench_eval

Measurements

latency · mean73.8 µs

Protocol

harnessflashinfer-bench
timerharness_reported
primaryStatisticmean
correctnessReferencedefinition reference implementation
comparabilityFamilyflashinfer_bench_trace

Environment

gpuNVIDIA B200 (unknown)
cudaToolkit12.8
frameworkpytorch 2.9.1+cu128

Artifacts

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Replications and notes

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Canonical manifest

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{
  "run": {
    "kind": "BenchmarkRun",
    "spec": {
      "status": "passed",
      "timing": {
        "latencyNs": {
          "mean": 73819
        },
        "primaryStatistic": "mean"
      },
      "observedAt": "2026-03-28T14:54:44.456Z",
      "correctness": {
        "comparator": "sol_execbench_eval",
        "maximumAbsoluteError": 0.0009765625,
        "maximumRelativeError": 0.011090029031038284
      },
      "sourceNative": {
        "source": "flashinfer-bench",
        "metrics": {
          "latency_ms": 0.07381866996486981,
          "speedup_factor": 124.4443253610023,
          "reference_latency_ms": 9.186314582824707
        },
        "benchmark": "gqa_paged_decode_h32_kv4_d128_ps1"
      },
      "protocolDigest": "sha256:7d44d206ad086b4bece35ce31f6531ebb11f07e0d9dcfb74c75be86d3ec02095",
      "workloadDigest": "sha256:e2f20ad104b19977f82ac6208878167a35ea8b1d5f3e10765ff45824695259fa",
      "environmentDigest": "sha256:af7cb68a0bb0eb9671092a620668c2600f0431301fc46a71807ea75fb7de8bce",
      "implementationDigest": "sha256:09a3a02d28d801076ad976133b410f793223f2428100276618e716be6d2567ac"
    },
    "metadata": {
      "name": "sol-trace-gqa-paged-decode-h32-kv4-d128-ps1-ec96bc77",
      "title": "gpt-5_triton_f88811 · gqa_paged_decode_h32_kv4_d128_ps1"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "protocol": {
    "kind": "BenchmarkProtocol",
    "spec": {
      "harness": {
        "name": "flashinfer-bench",
        "repository": "https://github.com/flashinfer-ai/flashinfer-bench"
      },
      "correctness": {
        "reference": "definition reference implementation",
        "comparator": "flashinfer_bench_eval"
      },
      "measurement": {
        "timer": "harness_reported",
        "primaryStatistic": "mean"
      },
      "comparability": {
        "family": "flashinfer_bench_trace"
      }
    },
    "metadata": {
      "name": "flashinfer-bench-trace",
      "title": "FlashInfer-Bench trace harness"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  },
  "environment": {
    "kind": "ExecutionEnvironment",
    "spec": {
      "hardware": {
        "vendor": "nvidia",
        "product": "NVIDIA B200",
        "architecture": "unknown"
      },
      "software": {
        "framework": {
          "name": "pytorch",
          "version": "2.9.1+cu128"
        },
        "libraries": {
          "triton": "3.5.1"
        },
        "cudaToolkit": "12.8"
      }
    },
    "metadata": {
      "name": "sol-trace-nvidia-b200-2-9-1-cu128-3-5-1-12-8",
      "title": "NVIDIA B200 (trace-reported software)"
    },
    "apiVersion": "kernelindex.dev/v1alpha1"
  }
}
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